CN113629722B - Variable-frequency power equipment group load peak clipping control method - Google Patents
Variable-frequency power equipment group load peak clipping control method Download PDFInfo
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- CN113629722B CN113629722B CN202110928667.8A CN202110928667A CN113629722B CN 113629722 B CN113629722 B CN 113629722B CN 202110928667 A CN202110928667 A CN 202110928667A CN 113629722 B CN113629722 B CN 113629722B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
- H02J3/12—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load
- H02J3/14—Circuit arrangements for ac mains or ac distribution networks for adjusting voltage in ac networks by changing a characteristic of the network load by switching loads on to, or off from, network, e.g. progressively balanced loading
- H02J3/144—Demand-response operation of the power transmission or distribution network
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02B—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. HOUSING, HOUSE APPLIANCES OR RELATED END-USER APPLICATIONS
- Y02B70/00—Technologies for an efficient end-user side electric power management and consumption
- Y02B70/30—Systems integrating technologies related to power network operation and communication or information technologies for improving the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as climate change mitigation technology in the buildings sector, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
- Y02B70/3225—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/222—Demand response systems, e.g. load shedding, peak shaving
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S20/00—Management or operation of end-user stationary applications or the last stages of power distribution; Controlling, monitoring or operating thereof
- Y04S20/20—End-user application control systems
- Y04S20/242—Home appliances
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- Engineering & Computer Science (AREA)
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Abstract
The invention provides a variable frequency power equipment group load peak clipping control method, which comprises the following steps: (1): collecting total power; (2): judging whether the total power is larger than a reference value, if so, going to (3); no, to (1); (3): setting a cycle counter to 1; a state variable matrix, a control times counter, setting 0; (4): judging whether the cycle counter is larger than the product of the maximum controlled times and the equipment numbers, and if so, going to (12); no, to (5); (5): detecting peak load moment; (6): detecting the state of equipment; (7): calculating the reduction capacity, and selecting equipment operated at peak load; (8): load is reduced before and after the peak value; (9): updating a state variable and a control frequency counter, and adding 1 to the cycle counter; (10): collecting total power; (11): judging whether the total power is larger than a reference value, and if so, going to (4); no, to (12); (12): and outputting a load curve and a state variable matrix. The method can reduce load more economically and effectively.
Description
Technical Field
The invention belongs to the technical field of power control, and particularly relates to a variable-frequency power equipment group load peak clipping control method.
Background
With the rapid development of economy, the demand for electric power is also rapidly increasing, and the use of household appliances further increases the demand for electric power, so that the phenomenon of electric power supply shortage sometimes occurs.
The frequency converter is applied to the power equipment, the power of the equipment can be flexibly adjusted, and when the load is too high, the power can be timely adjusted, so that the electric energy supply of important equipment is ensured. The invention provides a variable frequency power equipment group load peak clipping control method, which is used for collecting all variable frequency power equipment state variables, and respectively adopting an economic optimal target control method and a reduction maximum target control method, so that the load can be reduced more economically and effectively, and the stability of electric energy supply is ensured.
Disclosure of Invention
The invention provides a variable frequency power equipment group load peak clipping control method, which can reduce load more economically and effectively and ensure the stability of electric energy supply.
The invention particularly relates to a load peak clipping control method for a variable frequency power equipment group, which comprises the following steps:
step (1): collecting the total power of the variable-frequency power equipment group;
step (2): judging whether the total power is larger than a total power reference value, if so, entering a step (3); if not, returning to the step (1);
step (3): creating a circulation counter, the variable frequency power equipment state variable matrix and the variable frequency power equipment control frequency counter;
step (4): the cycle counter is set to 1, and the variable matrix of the variable frequency power equipment and the control frequency counter of the variable frequency power equipment are set to 0;
step (5): judging whether the cycle counter is larger than the product of the maximum controlled times of the variable frequency power equipment and the number of the variable frequency power equipment, if so, entering a step (14); if not, go to step (6);
step (6): detecting and recording peak load time;
step (7): detecting the states of the variable-frequency power equipment according to the state variables and the control times counter, and eliminating the states of the variable-frequency power equipment which are repeatedly operated or have reached the maximum controlled times;
step (8): calculating the reduction capacity of the variable frequency power equipment, and selecting the variable frequency power equipment which is operated in a peak load period according to an economic optimum or maximum reduction target;
step (9): updating the load curve before and after the peak timeLoad shedding during a long period of time;
step (10): updating the variable frequency power equipment state variable and the variable frequency power equipment control frequency counter;
step (11): the cycle counter is incremented by 1;
step (12): re-acquiring the total power of the variable-frequency power equipment group;
step (13): judging whether the total power is larger than the total power reference value, if so, returning to the step (5); if not, go to step (14);
step (14): and outputting a load curve and the variable frequency power equipment state variable matrix.
The optimal economic targets are as follows: and calculating the product of the reduction capacity and the corresponding electricity price of the variable frequency power equipment, and finding out that the variable frequency power equipment with the maximum product operates in the peak load period according to the sequence from high to low.
The maximum goal of the reduction is as follows: and finding out the maximum reduction capacity of the variable frequency power equipment according to the order from high to low, and operating the variable frequency power equipment at the peak load period.
Compared with the prior art, the beneficial effects are that: the load peak clipping control method collects all state variables of the variable-frequency power equipment, adopts an economic optimal target control method and a maximum reduction target control method to better reduce load, and ensures the stability of electric energy supply.
Drawings
Fig. 1 is a workflow diagram of a method for controlling peak clipping of a variable frequency power equipment group load according to the present invention for controlling an economic optimum target.
FIG. 2 is a flowchart of a method for controlling peak clipping of variable frequency power equipment group load to reduce the maximum load.
Detailed Description
The following describes a specific embodiment of a load peak clipping control method for a variable frequency power equipment group in detail with reference to the accompanying drawings.
The load clipping control method of the invention includes an economical optimum target control method and a cut-down amount maximum target control method,
as shown in fig. 1, the method for controlling the optimal target in economical efficiency comprises the following steps:
step (1): collecting the total power of the variable-frequency power equipment group;
step (2): judging whether the total power is larger than a total power reference value, if so, entering a step (3); if not, returning to the step (1);
step (3): creating a circulation counter, the variable frequency power equipment state variable matrix and the variable frequency power equipment control frequency counter;
step (4): the cycle counter is set to 1, and the variable matrix of the variable frequency power equipment and the control frequency counter of the variable frequency power equipment are set to 0;
step (5): judging whether the cycle counter is larger than the product of the maximum controlled times of the variable frequency power equipment and the number of the variable frequency power equipment, if so, entering a step (16); if not, go to step (6);
step (6): detecting and recording peak load time;
step (7): detecting the states of the variable-frequency power equipment according to the state variables and the control times counter, and eliminating the states of the variable-frequency power equipment which are repeatedly operated or have reached the maximum controlled times;
step (8): calculating the reduction capacity of the variable frequency power equipment;
step (9): calculating the product of the reduction capacity of the variable frequency power equipment and the corresponding electricity price;
step (10): sequencing the products according to the sequence from high to low, and finding out that the variable frequency power equipment with the maximum product operates in a peak load period;
step (11): updating the load curve before and after the peak timeLoad shedding during a long period of time;
step (12): updating the variable frequency power equipment state variable and the variable frequency power equipment control frequency counter;
step (13): the cycle counter is incremented by 1;
step (14): re-acquiring the total power of the variable-frequency power equipment group;
step (15): judging whether the total power is larger than the total power reference value, if so, returning to the step (5); if not, go to step (16);
step (16): and outputting a load curve and the variable frequency power equipment state variable matrix.
As shown in fig. 2, the maximum target control method with the cut-down amount includes the steps of:
step (1): collecting the total power of the variable-frequency power equipment group;
step (2): judging whether the total power is larger than a total power reference value, if so, entering a step (3); if not, returning to the step (1);
step (3): creating a circulation counter, the variable frequency power equipment state variable matrix and the variable frequency power equipment control frequency counter;
step (4): the cycle counter is set to 1, and the variable matrix of the variable frequency power equipment and the control frequency counter of the variable frequency power equipment are set to 0;
step (5): judging whether the cycle counter is larger than the product of the maximum controlled times of the variable frequency power equipment and the number of the variable frequency power equipment, if so, entering a step (15); if not, go to step (6);
step (6): detecting and recording peak load time;
step (7): detecting the states of the variable-frequency power equipment according to the state variables and the control times counter, and eliminating the states of the variable-frequency power equipment which are repeatedly operated or have reached the maximum controlled times;
step (8): calculating the reduction capacity of the variable frequency power equipment;
step (9): the reduction capacity of the variable frequency power equipment is found out to be the maximum in the reduction capacity according to the sequence from high to low, and the variable frequency power equipment is operated in the peak load period;
step (10): updating the load curve before and after the peak timeLoad shedding during a long period of time;
step (11): updating the variable frequency power equipment state variable and the variable frequency power equipment control frequency counter;
step (12): the cycle counter is incremented by 1;
step (13): re-acquiring the total power of the variable-frequency power equipment group;
step (14): judging whether the total power is larger than the total power reference value, if so, returning to the step (5); if not, go to step (15);
step (15): and outputting a load curve and the variable frequency power equipment state variable matrix.
Finally, it should be noted that the above-mentioned embodiments are merely illustrative of the technical solution of the invention and not limiting thereof. It will be understood by those skilled in the art that modifications and equivalents may be made to the particular embodiments of the invention, which are within the scope of the claims appended hereto.
Claims (3)
1. The load peak clipping control method for the variable frequency power equipment group is characterized by comprising the following steps of:
step (1): collecting the total power of the variable-frequency power equipment group;
step (2): judging whether the total power is larger than a total power reference value, if so, entering a step (3); if not, returning to the step (1);
step (3): creating a circulation counter, the variable frequency power equipment state variable matrix and the variable frequency power equipment control frequency counter;
step (4): the cycle counter is set to 1, and the variable matrix of the variable frequency power equipment and the control frequency counter of the variable frequency power equipment are set to 0;
step (5): judging whether the cycle counter is larger than the product of the maximum controlled times of the variable frequency power equipment and the number of the variable frequency power equipment, if so, entering a step (14); if not, go to step (6);
step (6): detecting and recording peak load time;
step (7): detecting the states of the variable-frequency power equipment according to the state variables and the control times counter, and eliminating the states of the variable-frequency power equipment which are repeatedly operated or have reached the maximum controlled times;
step (a) (-) -A/D8): calculating the reduction capacity of the variable frequency power equipment, and selecting the variable frequency power equipment which is operated in a peak load period according to an economic optimum or maximum reduction target;
step (9): updating the load curve before and after the peak timeLoad shedding during a long period of time;
step (10): updating the variable frequency power equipment state variable and the variable frequency power equipment control frequency counter;
step (11): the cycle counter is incremented by 1;
step (12): re-acquiring the total power of the variable-frequency power equipment group;
step (13): judging whether the total power is larger than the total power reference value, if so, returning to the step (5); if not, go to step (14);
step (14): and outputting a load curve and the variable frequency power equipment state variable matrix.
2. The variable frequency power equipment group load peak clipping control method according to claim 1, wherein the economical optimum objective is: and calculating the product of the reduction capacity and the corresponding electricity price of the variable frequency power equipment, sequencing the variable frequency power equipment according to the sequence from high to low, and finding out that the variable frequency power equipment with the maximum product operates in the peak load period.
3. The variable frequency power equipment group load peak clipping control method according to claim 1, wherein the clipping amount maximum target is: and sequencing the reduction capacity of the variable frequency power equipment according to the sequence from high to low, and finding out that the variable frequency power equipment with the maximum reduction capacity operates in the peak load period.
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Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107178869A (en) * | 2017-04-24 | 2017-09-19 | 东南大学 | The polymerization control despicking method of convertible frequency air-conditioner load |
JP2019088173A (en) * | 2017-11-10 | 2019-06-06 | 株式会社Nttファシリティーズ | Power management device, power management method, and program |
JP2019175278A (en) * | 2018-03-29 | 2019-10-10 | 住友電気工業株式会社 | Power conversion apparatus and maximum power point follow-up control method |
CN112465320A (en) * | 2020-11-18 | 2021-03-09 | 国网江苏省电力有限公司盐城供电分公司 | Virtual power plant transaction management method based on block chain technology |
-
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- 2021-08-13 CN CN202110928667.8A patent/CN113629722B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107178869A (en) * | 2017-04-24 | 2017-09-19 | 东南大学 | The polymerization control despicking method of convertible frequency air-conditioner load |
JP2019088173A (en) * | 2017-11-10 | 2019-06-06 | 株式会社Nttファシリティーズ | Power management device, power management method, and program |
JP2019175278A (en) * | 2018-03-29 | 2019-10-10 | 住友電気工業株式会社 | Power conversion apparatus and maximum power point follow-up control method |
CN112465320A (en) * | 2020-11-18 | 2021-03-09 | 国网江苏省电力有限公司盐城供电分公司 | Virtual power plant transaction management method based on block chain technology |
Non-Patent Citations (2)
Title |
---|
基于用电采集数据的需求响应削峰潜力评估方法;任炳俐;张振高;***;李慧;闫大威;张沛;;电力建设(第11期);全文 * |
考虑用户响应的动态尖峰电价及其博弈求解方法;周明;殷毓灿;黄越辉;田硕;李庚银;;电网技术(第11期);全文 * |
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